Davide Golinelli
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Global Health Care Issues 7
- Oncology 10
- COVID-19 and healthcare impacts 8
- Co-authors
- Maria Pia Fantini (28 shared papers)Erik Boetto (6 shared papers)Gherardo Carullo (7 shared papers)Andrea Giovanni Nuzzolese (5 shared papers)Francesco Sanmarchi (36 shared papers)Maria Paola Landini (3 shared papers)Jacopo Lenzi (15 shared papers)Angelo Capodici (8 shared papers)
- Journals
- European Journal of Public Health (9 papers)PLoS ONE (3 papers)Public Health (3 papers)Applied Sciences (2 papers)Health Policy (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Davide Golinelli
68 papers receiving 1.1k citations
Davide Golinelli's Hit Papers
Peers
Comparison fields: 5 of 128
- Health Informatics 71
- Modeling and Simulation 59
- Health 73
- Health Information Management 41
- General Health Professions 153
Countries citing papers authored by Davide Golinelli
This map shows the geographic impact of Davide Golinelli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Davide Golinelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Golinelli more than expected).
Fields of papers citing papers by Davide Golinelli
This network shows the impact of papers produced by Davide Golinelli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Davide Golinelli. The network helps show where Davide Golinelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Golinelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature Hit paper breakdown → | 2020 | 340 |
| 2 | 2021 | 119 | |
| 3 | 2021 | 78 | |
| 4 | 2023 | 55 | |
| 5 | 2020 | 55 | |
| 6 | 2023 | 54 | |
| 7 | 2023 | 38 | |
| 8 | 2021 | 32 | |
| 9 | 2017 | 24 | |
| 10 | 2022 | 20 | |
| 11 | 2018 | 20 | |
| 12 | 2021 | 20 | |
| 13 | 2020 | 19 | |
| 14 | 2020 | 19 | |
| 15 | 2022 | 18 | |
| 16 | 2018 | 13 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2021 | 11 |
About Davide Golinelli
Davide Golinelli is a scholar working on General Health Professions, Oncology, Surgery, Economics and Econometrics and Modeling and Simulation, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (8 papers), COVID-19 epidemiological studies (7 papers), Global Health Care Issues (7 papers), Total Knee Arthroplasty Outcomes (5 papers), Artificial Intelligence in Healthcare and Education (5 papers), Healthcare Systems and Reforms (4 papers), Emergency and Acute Care Studies (3 papers) and Vaccine Coverage and Hesitancy (3 papers). The work is most often cited by research in Health Informatics (71 citations), Modeling and Simulation (59 citations), Health (73 citations), Health Information Management (41 citations) and General Health Professions (153 citations). Davide Golinelli has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Maria Pia Fantini, Erik Boetto, Gherardo Carullo, Andrea Giovanni Nuzzolese, Francesco Sanmarchi, Maria Paola Landini, Jacopo Lenzi, Angelo Capodici, Chiara Reno and F Toscano. Their work appears in journals such as European Journal of Public Health, PLoS ONE, Public Health, Applied Sciences and Health Policy.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.